kawakp Object Detection Dataset and Pre-Trained Model by sara alsaleh

Images

1618 images

Explore Dataset

Here are a few use cases for this project:

Robotics Navigation: The "kawakp" model can be used in robotics to help robots understand navigational commands. For instance, in a manufacturing or warehouse scenario, robots can use this model to understand instructions relating to their path of movement, like moving left, right, up, or down, and perform complex tasks involving different loops.
Interactive Gaming: The model can be integrated into interactive game development where the player's physical movements like moving left, right, up, or down and performing different loop movements could be translated into in-game controls.
Physical Rehabilitation: Physiotherapists and rehabilitation centers could use "kawakp" to track patients' movements during therapies. The detection of specific positions or movement patterns could help gauge a patient’s recovery progress.
Gesture Based Control System: This model could be implemented in developing gesture-based control systems; for example, in a smart home environment where specific gestures can trigger corresponding actions like turning on/off lights, adjusting thermostat settings, or controlling various home appliances.
Dance and Gymnastics Training: The model could be used to analyze and critique dance or gymnastic performances by identifying specific movements or positions, enabling athletes and dancers to perfect their routines. The loops can correspond to spins or other circular movements in these scenarios.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            kawakp_dataset,
                            title = { kawakp Dataset },
                            type = { Open Source Dataset },
                            author = { sara alsaleh },
                            howpublished = { \url{ https://universe.roboflow.com/sara-alsaleh/kawakp } },
                            url = { https://universe.roboflow.com/sara-alsaleh/kawakp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-24 },
                            }